We
are interested in all components of a large scale Big Data Analytics
system and AI Platforms, including but not limited to machine learning
algorithms, large scale data analysis frameworks, architectural
acceleration, performance optimization on Multicore/GPU/FPGA, Open
Source Big Data Ecosystems, Big Data Visualization, etc. We are leading
researchers and engineers from worldwide to create adaptive and high
performance big data and AI engines for real applications, such as
financial fraud detection, anomaly detection in security control,
acceleration in telecommunication networks, user-behavior modeling,
etc.

This
position enables one to work with team members with backgrounds in
analytics and systems, Distributed Systems, Business Intelligence,
parallel architecture, etc., as well as collaborating with academic
partners in universities. We encourage researchers actively creating
software/systems to solve real-world problems, and contributing to
high-quality open-source communities, and actively publishing papers. We
are recruiting senior data scientist/engineers with multi-disciplinary
backgrounds to contribute to the growth of the company and the success
of our society.

Responsibilities• Design, develop and improve acceleration techniques for heterogeneous platforms• Work with team members providing technical leadership• Implement and benchmark large scale AI algorithms over xPU/FPGA• Improve performance of our adaptive engine on various platforms• Provide technical guidance to your fellow team members

Preferred Technical and Professional Experience:• 3+ years experience in development on FPGA/ASIC/GPU• 2+ years experience in distributed/parallel computing environment• 1+ years experience in machine learning or data analytics• Experience in Big Data frameworks, database server development is a plus • Basic knowledge in linear algebra, deep learning, statistics • Required Education: MS or Doctorate Degree